Results 41 to 50 of about 2,884,172 (338)
General fuzzy min-max neural network for clustering and classification [PDF]
, 2000 This paper describes a general fuzzy min-max (GFMM) neural network which is a generalization and extension of the fuzzy min-max clustering and classification algorithms of Simpson (1992, 1993).
Bargiela, Andrzej, Gabrys, Bogdan
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Assessment of Heart Disease using Fuzzy Classification Techniques
The Scientific World Journal, 2001 In this paper we discuss the classification results of cardiac patients of ischemical cardiopathy, valvular heart disease, and arterial hypertension, based on 19 characteristics (descriptors) including ECHO data, effort testings, and age and weight.
Horia F. Pop, Tudor L. Pop, Costel Sarbu
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Chemical Engineering Transactions, 2017 In this paper, the author research on electrical equipment’s fault diagnosis based on the improved support vector machine and fuzzy clustering. Combining the support vector combined fuzzy sets and neural network to carry on the fault diagnosis is a most ...
Yuling Yan
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Fuzzy image segmentation of generic shaped clusters [PDF]
, 2005 The segmentation performance of any clustering algorithm is very sensitive to the features in an image, which ultimately restricts their generalisation capability.
Ali, M. A. +2 more
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Fuzzy clustering of fuzzy systems [PDF]
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005 A fuzzy system entirely characterizes one region of the input-output product space S = U /spl times/ V through a relation expressed by a set of fuzzy rules. Effectively, the fuzzy system establishes a fuzzy map, which assigns for each input fuzzy set in U an output fuzzy set in V.
Salgado, Paulo, Garrido, Paulo
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Methods of Resource Scheduling Based on Optimized Fuzzy Clustering in Fog Computing
Italian National Conference on Sensors, 2019 Cloud computing technology is widely used at present. However, cloud computing servers are far from terminal users, which may lead to high service request delays and low user satisfaction. As a new computing architecture, fog computing is an extension of
Guangshun Li +4 more
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Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
FEBS Open Bio, EarlyView.We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
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A Novel Hybrid SBM Clustering Method Based on Fuzzy Time Series
IEEE Access, 2023 With the development of machine learning algorithm and fuzzy theory, the fuzzy clustering algorithm based on time series has received more and more attention. Based on the time series theory and considering the correlation of data attributes, it proposes
Ren-Long Zhang, Xiao-Hong Liu
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Fuzzy clustering of fuzzy data based on robust loss functions and ordered weighted averaging
Fuzzy Sets Syst., 2020 In many real cases the data are not expressed in term of single values but are imprecise. In all these cases, standard clustering methods for single-valued data are unable to properly take into account the imprecise nature of the data.
P. D’Urso, J. Leski
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source